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SunSniffer: AI-Powered Solar Prospecting With Automated Lead Generation
Industry
Renewable Energy
Project
Internal Portal For Lead Generation & Outreach
Target Market
Germany
Tech Stack
Nextjs, Django, Google Solar API, LinkedIn API, Next.Js API Route
User Interface Snapshots
Client Background
SunSniffer GmbH & Co. KG is a German solar technology company based in Nürnberg, specializing in AI-powered photovoltaic (PV) plant monitoring and optimization solutions. The company provides module-level monitoring systems that use artificial intelligence and precise sensor technology to detect issues, optimize performance, and reduce O&M costs for solar installations. With their patented technology, SunSniffer helps asset managers and operators achieve maximum yield from their solar plants through automated analysis and actionable insights at just 1 cent per watt peak.
Client Challenge
- Manual process for identifying buildings suitable for solar installations
- Time-consuming research to find business contact information and decision makers
- Generic outreach campaigns with low conversion rates
- Inability to scale lead generation efforts effectively
- Lack of data-driven insights into solar potential across different locations
- Inefficient follow-up processes for email campaigns
- No centralized system for managing leads and campaign performance
- Difficulty creating personalized proposals for potential solar installations
Our Solution
- Integrated Google Solar API to identify buildings with solar installation potential based on location, rooftop area, sunshine hours, and energy savings data
- Built web scraping tools using Apify.com to collect detailed business information from Google My Business and LinkedIn
- Implemented Snov.io integration to find email addresses of key decision makers in target businesses
- Created automated PDF proposal system using collected solar potential data and business information
- Integrated Instantly.ai for sophisticated cold email campaign management with sequences and follow-ups
- Utilized OpenAI to generate personalized email content and sales sequences
- Implemented Emailtree for automated email reply analysis and personalized responses
- Built comprehensive campaign performance tracking and lead management system
- Developed using ReactJS and VueJS for optimal user experience across different modules
Result
- Automated identification of solar-potential buildings across entire cities and regions
- 90% reduction in manual research time for lead qualification
- Personalized outreach campaigns with data-driven solar proposals for each prospect
- Scalable lead generation supporting thousands of potential customers simultaneously
- AI-powered email sequences increasing response rates and engagement
- Comprehensive analytics providing insights into campaign performance and lead quality
- Centralized platform managing entire sales funnel from prospect identification to conversion
- Automated follow-up system ensuring no leads are lost in the process
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